From Me To You (track)
by Janis Ian
Year: 1975
From the album Between The Lines (track #3)
Listen on Spotify SPOTIFY
From Me To You appears on the following album(s) by Janis Ian:
- Between The Lines (track #3) (this album) (1975)
- The Bottom Line Encore Collection (track #1) (1999)
- Up 'Til Now (track #4) (compilation) (1993)
Condition: Brand New
Condition: Very good
Condition: Very Good
Listen to From Me To You on YouTube
From Me To You ratings
Average Rating = (n ÷ (n + m)) × av + (m ÷ (n + m)) × AVwhere:
av = trimmed mean average rating an item has currently received.
n = number of ratings an item has currently received.
m = minimum number of ratings required for an item to appear in a 'top-rated' chart (currently 10).
AV = the site mean average rating.
Showing latest 5 ratings for this track. | Show all 14 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 03/22/2026 18:45 | Johnnyo | 44,227 | 80/100 |
| ! | 12/28/2025 19:34 | Exist-en-ciel | 143,430 | 71/100 |
| ! | 08/25/2023 15:01 | 74,228 | 51/100 | |
| ! | 07/27/2023 06:23 | 39,183 | 78/100 | |
| ! | 04/13/2022 20:19 | 83,227 | 64/100 |
Rating metrics:
Outliers can be removed when calculating a mean average to dampen the effects of ratings outside the normal distribution. This figure is provided as the trimmed mean. A high standard deviation can be legitimate, but can sometimes indicate 'gaming' is occurring. Consider a simplified example* of an item receiving ratings of 100, 50, & 0. The mean average rating would be 50. However, ratings of 55, 50 & 45 could also result in the same average. The second average might be more trusted because there is more consensus around a particular rating (a lower deviation).
(*In practice, some tracks can have several thousand ratings)
This track has a Bayesian average rating of 75.8/100, a mean average of 75.7/100, and a trimmed mean (excluding outliers) of 75.7/100. The standard deviation for this track is 12.9.
From Me To You comments
Be the first to add a comment for this track - add your comment!



